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│ WEBFLOW ANALYZER LINEAGE │
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│ Jan Feb Mar Apr │
│ detect → extract → govern → productize │
│ experiment MCP policy + reviewer + │
│ origin server review ops creator help │
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│ The system got stronger as its boundaries got clearer. │
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Research for automation you can defend.
CREATE SOMETHING .io turns experiments, papers, and field notes into a usable research layer for operators. The goal is evidence you can carry into the next build, review, or production decision.
- published experiments + papers 21
- research categories 1
- featured artifacts to inspect first 6
- database / automation / judgment layers 3
Start from evidence. Decide whether to read, test, or scope.
The research layer makes the next operating decision easier: trace the claim, test runtime-dependent behavior, and name the receiving surface before the handoff.
Start from the artifact trail.
Start from operator friction, runtime behavior, and implementation receipts. Papers, experiments, and field notes stay tied to the workflow and make the claim, artifact, methodology, and next move inspectable.
- Paper or experiment names the source workflow and operating question
- Claim is tied to methodology, implementation notes, or the research graph
- Operator notes explain why the workflow exists and where it breaks
Featured Work
Experiments, field notes, and patterns worth inspecting first.
- researchresearch
╭──────────────────────────────────────────────────────────────╮ │ │ │ USER AGENT FILTERS │ │ │ │ "Show me chairs ┌─────────────┐ ┌──────────────┐ │ │ under $2000" ───▶ │ Workers AI │ ───▶ │ category: │ │ │ │ │ │ seating │ │ │ │ Reasoning │ │ price: <2000 │ │ │ │ Streaming │ │ status: any │ │ │ └─────────────┘ └──────────────┘ │ │ │ │ │ │ ▼ ▼ │ │ ╔═══════════════════════════════════╗ │ │ ║ 5 products match ║ │ │ ║ ┌───┐ ┌───┐ ┌───┐ ┌───┐ ┌───┐ ║ │ │ ║ │ │ │ │ │ │ │ │ │ │ ║ │ │ ║ └───┘ └───┘ └───┘ └───┘ └───┘ ║ │ │ ╚═══════════════════════════════════╝ │ │ │ ╰──────────────────────────────────────────────────────────────╯ Ask for what you want. Skip the filter taxonomy.AI-Native Filtering: Natural Language Product Discovery
researchresearchTRADITIONAL SHAPE-AWARE (6D) ╭─────────────╮ ╭─────────────────╮ ╱@@@@@@@@@@@@@@@╲ ╱,,,##########,,,,╲ │@@@@##########@@@│ │,,##MMMMMMMM##,,,│ │@@@############@@│ ──▶ │,#MMMMMMMMMMMM#,,│ │@@@@@@@@@@@@@@@@@@│ │,#MMMMM""""MMM#,,│ ╲@@@@@@@@@@@@@@@╱ ╲,,##########,,,╱ ╰─────────────╯ ╰─────────────────╯ Blurry edges Sharp contours 6D Shape Vector ╭───┬───╮ │ ○ │ ○ │ ← upper (staggered) ├───┼───┤ │ ○ │ ○ │ ← middle ├───┼───┤ │ ○ │ ○ │ ← lower (staggered) ╰───┴───╯ ASCII characters are not pixels— they have SHAPE.Shape-Aware ASCII Renderer: 6D Character Matching
researchresearchN ▲ ▲▲▲▲▲▲▲ ▲▲▲▲▲▲▲▲▲▲▲ ╱─────────────╲ ╱ ○ ○ ○ ○ ○ ○ ╲ │ ○ ○ ● ● ○ ○ ○ │ W ◀│ ○ ○ ● ● ● ○ ○ ○ │▶ E │ ○ ○ ● ○ ○ ○ ○ │ ╲ ○ ○ ○ ○ ○ ○ ╱ ╲─────────────╱ ▼▼▼▼▼▼▼▼▼▼▼ ▼▼▼▼▼▼▼ S ▼ ○ calm ● crowded ● panicked 8,000+ agents │ 60 FPS │ Social Force Model Watch crowds form, bottlenecks emerge, panic spread.Living Arena GPU: WebGPU Crowd Simulation
researchresearch✓ VALIDATED │ v2.3.0 │ 41/41 tests ╔═══════════════════════════════════════════════════════╗ ║ WEBFLOW PLAGIARISM DETECTION ║ ║ ║ ║ ┌──────────┐ ┌──────────┐ ┌──────────┐ ║ ║ │ MinHash │──▶│ LSH │──▶│ PageRank │ ║ ║ │ (1997) │ │ (1998) │ │ (1996) │ ║ ║ └──────────┘ └──────────┘ └──────────┘ ║ ║ │ │ │ ║ ║ └──────────────┴──────────────┘ ║ ║ │ ║ ║ ╔══════▼══════╗ ║ ║ ║ Bayesian ║ ║ ║ ║ Confidence ║ ║ ║ ╚══════╤══════╝ ║ ║ │ ║ ║ ╔══════▼══════╗ ║ ║ ║ MCP Tools ║───▶ Team AI Agents ║ ║ ║ (10 tools) ║ ║ ║ ╚═════════════╝ ║ ║ ║ ║ 9,593 templates │ 517,850 functions │ $2.20/month ║ ╚═══════════════════════════════════════════════════════╝ Classic algorithms. Agent-native delivery.Webflow Plagiarism Detection: Agent-Native Algorithms
researchresearch╱╲ ╱╲ ╱╲ ╱ ╲ ╱ ╲ ╱ ╲ ╱ 🛡️ ╲ ╱ 💡 ╲ ╱ 🌡️ ╲ ╱SECUR╲╱ LITE ╲╱ HVAC ╲ ╱────────────────────────╲ ╱ ╲ │ ╭────────────────╮ │ │ │ │ │ │ │ ╭──────╮ │ │ │ │ │ AI │ │ │ │ │ ╰──────╯ │ │ │ │ │ │ │ │ │ ▼ │ │ │ │ 👤 │ │ │ │ HUMAN DECIDES │ │ │ ╰────────────────╯ │ ╲ ╱ ╲────────────────────────╱ ╲ 📅 ╱╲ 📡 ╱╲ ╱ ╲ ╱ ╲ ╱ ╲ ╱ ╲╱ ╲╱ ╲╱ The system helps. A human chooses.Living Arena: AI-Native Automation at Scale
researchresearch
Move the evidence into its next operating surface.
.io does the reading so the rest of CREATE SOMETHING can move faster. Start with the methodology, inspect the papers and graph, use .space for runtime validation, .learn for guided practice, .ltd for the thesis, and .agency when a named workflow is ready to map.
- Owner
- Research operator
- Authority
- Evidence before promotion
- Proof
- Paper + graph + method
- State
- ready
- 01 .ltd Canon Clarify the principles, standards, and judgment that should guide the work.
- 02 .io Research Inspect the evidence, field reports, and operating notes behind the claim.
- 03 .learn School Follow a guided path and leave with an inspectable working artifact.
- 04 .space Workbench Run the tools and rehearse the behavior before the pattern becomes delivery.
- 05 .agency Build Map one workflow, qualify the control boundary, and choose the delivery path.